Evidence map›Paper›PMID 39501335›Full record

ArticleJournal of translational medicine2024

From inflammation to depression: key biomarkers for IBD-related major depressive disorder.

Chaoqun Hu, Mei Ge, Yan Liu, Wei Tan, Yingzhi Zhang, Min Zou, Lingya Xiang, Xiaomei Song, Hong Guo

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chaoqun Hu *Department of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.ORCID 0000-0002-1918-4888
Mei Ge *Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing University, Chongqing, China.
Yan LiuDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Wei TanDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Yingzhi ZhangDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Min ZouDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Lingya XiangDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Xiaomei SongDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China. sxm1127@cqu.edu.cn.
Hong GuoDepartment of Gastroenterology, Chongqing General Hospital, Chongqing University, Chongqing, China. hguo_cgh2021@163.com.

Funding

National Key Research and Development Program of China 2023YFC2507300National Natural Science Foundation of China 82400649Science and Health Joint Medical Research Program of Chongqing Municipality 2024QNXM036Science and Health Joint Medical Research Program of Chongqing Municipality 2024ZDXM009
6 · The paper itself

Abstract

backgroundInflammatory bowel disease (IBD) is a chronic, inflammatory, and autoimmune disorder, and its incidence of comorbid with major depressive disorder (MDD) is significantly higher than the general population. However, many patients lack proper recognition and necessary psychological health treatments. We aimed to identify potential biomarkers and mechanisms involved in the development of IBD comorbid with MDD (IBD-MDD).

methodsWe utilized IBD and MDD-related datasets from the GEO database for differential gene expression analysis, protein-protein interaction (PPI) and pathway enrichment analysis, random forest algorithm, LASSO regression analysis, and construction of a disease prediction model. We assessed the accuracy of the model using ROC curve, explored potential mechanisms through immune infiltration analysis, and validated candidate biomarkers using peripheral blood samples from patients in our center's cohort.

resultsWe identified 484 IBD-related secreted proteins and 142 key module genes associated with MDD. PPI analysis revealed two crucial modules primarily involved in inflammation and immune regulation. We identified four diagnostic genes (HGF, SPARC, ADAM12, and MMP8) from the 21 shared genes between IBD-related secreted proteins and MDD key module genes, constructed a nomogram model and confirmed its accuracy using ROC curve from an external independent dataset. Immune infiltration analysis revealed significant associations between the four diagnostic genes, and cellular immune dysregulation in MDD. Finally, we validated the expression patterns of the four diagnostic genes in our cohort.

conclusionsOur study discovered four candidate biomarkers for IBD-MDD, providing new insights for the diagnosis and therapeutic intervention of serum-based IBD comorbid with MDD.

Indexed as

BiomarkersInflammationInflammatory Bowel DiseasesMajor Depressive DisorderProtein Interaction MapsAdultFemaleGene Expression ProfilingHumansMaleROC CurveBiomarkersDiagnostic valueImmune cell infiltrationInflammatory bowel diseaseMajor depressive disorderSerum secretory proteins

Identifiers

PMID39501335
PMCPMC11536793

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.